For distributed environments the island distribution scheme is well adapted. Islands of population evolve for a
while on a remote node. When an island is finished, its final population is merged back into a global archive.
A new island is then generated until the termination criterion: i.e. the total number of islands to generate is met.

Islands scheme is used via a specific task, IslandEvolution to be added in the workflow.

The task take three parameters:

an evolution task method, which is the calibration task (SteadyStateEvolution in the example
below ), to be distributed on the nodes of the distributed environment

parallelism : the number of concurrent islands that evolve at a given time

the termination criterion is the total number of evolutions performed by all the islands.
In the example below, each island performs 100 iterations of their evolution tasks, so for 100 islands,
this parameter is set to 100*100= 10000.